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Kibana
Kibana

4.5K
3K
+ 1
227
Statsite
Statsite

4
8
+ 1
0
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Kibana vs Statsite: What are the differences?

What is Kibana? Explore & Visualize Your Data. Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

What is Statsite? C implementation of statsd. Statsite is a metrics aggregation server. Statsite is based heavily on Etsy's StatsD https://github.com/etsy/statsd, and is wire compatible.

Kibana and Statsite can be categorized as "Monitoring" tools.

Some of the features offered by Kibana are:

  • Flexible analytics and visualization platform
  • Real-time summary and charting of streaming data
  • Intuitive interface for a variety of users

On the other hand, Statsite provides the following key features:

  • Multiple metric types
  • Efficient summary metrics for timer data
  • Dynamic set implementation

Kibana and Statsite are both open source tools. It seems that Kibana with 12.4K GitHub stars and 4.8K forks on GitHub has more adoption than Statsite with 1.73K GitHub stars and 241 GitHub forks.

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What is Kibana?

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

What is Statsite?

Statsite is a metrics aggregation server. Statsite is based heavily on Etsy's StatsD https://github.com/etsy/statsd, and is wire compatible.
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          What are some alternatives to Kibana and Statsite?
          Grafana
          Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
          Loggly
          The world's most popular cloud-based log management service delivers application intelligence.
          Graylog
          Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
          Splunk
          Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
          Prometheus
          Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
          See all alternatives
          Decisions about Kibana and Statsite
          StackShare Editors
          StackShare Editors
          Icinga
          Icinga
          Graphite
          Graphite
          Logstash
          Logstash
          Elasticsearch
          Elasticsearch
          Grafana
          Grafana
          Kibana
          Kibana

          One size definitely doesn鈥檛 fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O鈥橰eilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company鈥檚 use cases.

          At the time, Slack used a few well-known monitoring tools since it鈥檚 Technical Operations team wasn鈥檛 large enough to build an in-house solution for all of these. Nor did the team think it鈥檚 sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack鈥檚 needs.

          On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they鈥檝e tried to build usability into Grafana that reflects the team鈥檚 mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

          See more
          Grafana
          Grafana
          Splunk
          Splunk
          Kibana
          Kibana

          I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

          See more
          Elasticsearch
          Elasticsearch
          Grafana
          Grafana
          Kibana
          Kibana

          I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

          See more
          Kibana
          Kibana
          Grafana
          Grafana

          For our Predictive Analytics platform, we have used both Grafana and Kibana

          Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

          For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

          • Creating and organizing visualization panels
          • Templating the panels on dashboards for repetetive tasks
          • Realtime monitoring, filtering of charts based on conditions and variables
          • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
          See more
          Interest over time
          Reviews of Kibana and Statsite
          No reviews found
          How developers use Kibana and Statsite
          Avatar of Clarabridge Engage
          Clarabridge Engage uses KibanaKibana

          Used for graphing internal logging data; including metrics related to how fast we serve pages and execute MySQL/ElasticSearch queries.

          Avatar of Wirkn Inc.
          Wirkn Inc. uses KibanaKibana

          Our Kibana instances uses our ElasticSearch search data to help answer any complicated questions we have about our data.

          Avatar of Hevelop
          Hevelop uses KibanaKibana

          Kibana is our tools to query data in Elasticsearch clusters set up as catalog search engine.

          Avatar of Diogo Silva
          Diogo Silva uses KibanaKibana

          Perfect for exploring and visualizing the data available at ElasticSearch

          Avatar of Tongliang Liu
          Tongliang Liu uses KibanaKibana

          Log visualization. Wish it could add built-in alert functionality.

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          How much does Statsite cost?
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